Qiang Ma

TL;DR: A dynamic risk assessment model for evaluating the safety of deepwater drilling operations includes risk factors about kick cause, kick detection, shut-in operation and kill operation, which covers the full process of a blowout.

TL;DR: Wang et al. as discussed by the authors proposed a novel method to quantify risk coupling of subsea blowout accidents based on dynamic Bayesian network (DBN) and NK model, and the developed model is validated by a three-axiom-based method.

TL;DR: In this article , the authors present a dynamic quantitative risk assessment method for drilling well control by integrating multi types of risk factors, such as human errors, equipment failure, and internal mechanisms.

TL;DR: Wang et al. as mentioned in this paper proposed a dynamic assessment method to quantify the risk of oil spills in extreme winds based on dynamic Bayesian networks (DBNs), which transformed physical models of advection, spreading, evaporation, and dispersion into DBNs, and the vulnerability model was established according to coastline types and socio-economic resources.

TL;DR: In this article , a new set of rolling curve-solving models is established for step-aligning in BIM project management, based on the premise that the differential equation can be solved numerically, and appropriately simplify or set the required relational functions in the equation.